V2X (VVX) Property, Plant & Equipment (Net) (2013 - 2026)
V2X (VVX) reported Property, Plant & Equipment (Net) of $48.99 million for Q2 2026, down 20.3% from $61.46 million a year earlier and down 3.3% from the prior quarter.
V2X (VVX) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, V2X posted Property, Plant & Equipment (Net) of $52.38 million, down 15.5% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $62 million in FY2024 (-27.4%), $85.43 million in FY2023 (+8.5%), $78.72 million in FY2022 (+231.3%) and $23.76 million in FY2021 (+5.2%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last nine quarters, with an average decline of 20.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2023 (growth of 249.7%); the low point was Q1 2025 (a decline of 35.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.64 million (Q1 2026), $52.38 million (Q4 2025) and $57.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 48.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 48.99 Mn |
| Apr 3, 2026 | 50.64 Mn |
| Dec 31, 2025 | 52.38 Mn |
| Sep 26, 2025 | 57.60 Mn |
| Jun 27, 2025 | 61.46 Mn |
| Mar 28, 2025 | 60.37 Mn |
| Dec 31, 2024 | 62.00 Mn |
| Sep 27, 2024 | 65.75 Mn |
| Jun 28, 2024 | 70.27 Mn |
| Mar 29, 2024 | 93.36 Mn |
| Dec 31, 2023 | 85.43 Mn |
| Sep 29, 2023 | 82.90 Mn |
| Jun 30, 2023 | 82.28 Mn |
| Mar 31, 2023 | 82.31 Mn |
| Dec 31, 2022 | 78.72 Mn |
| Sep 30, 2022 | 75.96 Mn |
| Jul 1, 2022 | 23.53 Mn |
| Apr 1, 2022 | 24.05 Mn |
| Dec 31, 2021 | 23.76 Mn |
| Oct 1, 2021 | 23.56 Mn |
V2X Property, Plant & Equipment (Net) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VVX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();